F&N Bulletin Vol 23 No 1b - United Nations University
F&N Bulletin Vol 23 No 1b - United Nations University
F&N Bulletin Vol 23 No 1b - United Nations University
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46<br />
E-S. Tee et al.<br />
TABLE 7. Prevalence of undernutrition among urban and rural primary schoolchildren<br />
Height-for-age Weight-for-age Weight-for-height<br />
Children n < –2 SD (%) n < –2 SD (%) n < –2 SD (%)<br />
Urban<br />
Boys 3,033 8.1 3,035 7.9 2,937 4.8<br />
Girls 2,952 5.6 2,958 6.8 2,036 4.5<br />
Both sexes 5,985 6.9 5,993 7.4 4,973 4.6<br />
Rural a<br />
Boys 1,049 34.4 1,057 29.1 950 8.2<br />
Girls 1,066 24.9 1,069 26.1 731 6.2<br />
Both sexes 2,115 29.6 2,126 26.9 1,681 7.3<br />
Rural and urban<br />
Boys 4,082 4.4 4,092 3.7 3,887 1.7<br />
Girls 4,018 4.5 4,027 4.1 2,767 1.4<br />
Both sexes 8,100 4.4 8,119 3.8 6,654 1.6<br />
a. Data from World Health Organization [2].<br />
schoolchildren (1.9%) [3] (table 8). The prevalence of<br />
overweight among rural boys and girls was approximately<br />
the same at 2.0%. On the other hand, the<br />
prevalence of overweight among urban boys was about<br />
twice that among urban girls.<br />
Conclusions<br />
The mean weights and heights of boys were greater<br />
than those of girls for the younger age groups (7 and<br />
8 years). As the ages increased (9 and 10 years), the<br />
reverse was true and the girls were heavier and taller<br />
than the boys. The mean BMI was generally greater for<br />
boys in all age groups. Undernutrition, as determined<br />
by the prevalences of stunting, underweight, and wasting,<br />
was also more serious among the boys, particularly<br />
as measured by stunting and underweight.<br />
The prevalence of overweight was higher than that<br />
of wasting for both boys and girls in all age groups.<br />
Boys had a slightly higher prevalence of overweight<br />
TABLE 8. Prevalence of overweight among urban and rural<br />
schoolchildren<br />
Children n > 2 SD (%)<br />
Urban<br />
Boys 2,937 9.5<br />
Girls 2,036 5.2<br />
Both sexes 4,973 7.7<br />
Rural a<br />
Boys 1,731 2.0<br />
Girls 1,544 1.9<br />
Both 3,275 1.9<br />
Urban and rural<br />
Boys 4,668 4.8<br />
Girls 3,580 2.7<br />
Both sexes 8,248 4.1<br />
a. Data from World Health Organization [2].<br />
than girls; the difference was larger for the older<br />
children. Both undernutrition and overweight were<br />
more frequent among boys. The prevalence of undernutrition<br />
among the urban study subjects (less than<br />
8%) was much less than that among rural primary<br />
schoolchildren. On the other hand, the prevalence of<br />
overweight (about 8%) was much greater than among<br />
rural children (about 2%). The factors responsible for<br />
this difference in nutrition between rural and urban<br />
children should be investigated to provide useful lessons<br />
for the prevention and control of overweight.<br />
The analysis of weight and height measurements in<br />
this study was complicated by the fact that the study<br />
subjects ranged from 7 to 10 years old, consisting of<br />
younger primary schoolchildren in the prepuberty age<br />
group. As is well known, the NCHS data in the Anthro<br />
program are not appropriate for analyzing children<br />
over 9 years of age. The results of investigations into<br />
the use of weight-for-height Z score and BMI-for-age<br />
for the determination of thinness and overweight have<br />
been discussed earlier.<br />
The analyses suggested that the use of cutoff points<br />
of less than the 5th percentile and equal to or greater<br />
than the 85th percentile for determining the prevalences<br />
of thinness and overweight, respectively, as<br />
recommended by WHO [2], may not be appropriate.<br />
These indicators appeared to have overestimated the<br />
prevalences by a magnitude of about two to three.<br />
To overcome the problem for overweight, the cutoff<br />
was set at at or above the 95th percentile, and the<br />
figures obtained are felt to be more realistic. The use<br />
of less than the 3rd percentile of the reference data<br />
for underweight would probably give prevalence data<br />
closer to those obtained by using the weight-for-height<br />
Z score.<br />
It is important to determine whether these findings<br />
of differences in prevalences of thinness and overweight<br />
using the two methods of analysis are observed<br />
for other communities. It may be necessary to change